Correct a big mistake about model evluation

Sincerely sorry for the big mistake made when I cleaned my code.
CityU-AIM-Group · Feb 29, 2024 · 8a47bcd · 8a47bcd
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@@ -18,7 +18,7 @@ If you have any ideas and problems you hope to discuss, you can reach me via  [E
 
 ## 2024/02/29:
 
-We sincerely apologize for a big mistake while cleaning my code and make open-source. I show my sincerest apologies to readers who ran our code before and were unable to achieve similar results.
+I sincerely apologize for a big mistake while cleaning my code and make open-source. I show my sincerest apologies to readers who ran our code before and were unable to achieve similar results.
 
 Since City Val only has 500 images and is insufficient to evaluate the open-set performance (e.g., AOSE), we follow the p2c setting to use all unlabeled data for evaluation. Please check on our corrected target domain dataset settings. I am so so sorry that I forgot this when I cleaned my code!! Besides, thank you for raising the issue https://github.com/CityU-AIM-Group/SOMA/issues/5#issue-2157929369 https://github.com/CityU-AIM-Group/SOMA/issues/4#issue-2061101062 to let me notice this mistake.